igor-public/pearl/pearl-scienta-preprocess.ipf

1623 lines
52 KiB
Igor

#pragma TextEncoding = "UTF-8"
#pragma rtGlobals=3 // Use modern global access method and strict wave access.
#pragma IgorVersion = 6.1
#pragma ModuleName = PearlScientaPreprocess
#include "pearl-fitfuncs"
#include "pearl-area-import"
// Copyright (c) 2013-18 Paul Scherrer Institut
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
/// @file
/// @brief preprocessing functions for Scienta detector images.
/// @ingroup ArpesPackage
///
/// this procedure contains functions for data reduction
/// and instrument-specific normalization.
///
/// @author matthias muntwiler, matthias.muntwiler@psi.ch
///
/// @copyright 2013-18 Paul Scherrer Institut @n
/// Licensed under the Apache License, Version 2.0 (the "License"); @n
/// you may not use this file except in compliance with the License. @n
/// You may obtain a copy of the License at
/// http://www.apache.org/licenses/LICENSE-2.0
/// @namespace PearlScientaPreprocess
/// @brief preprocessing functions for Scienta detector images.
///
/// PearlScientaPreprocess is declared in @ref pearl-scienta-preprocess.ipf.
/// prompt the user for integrate on linear background reduction parameters.
///
function prompt_int_linbg_reduction(param)
string &param
variable Lcrop = NumberByKey("Lcrop", param, "=", ";")
variable Lsize = NumberByKey("Lsize", param, "=", ";")
variable Hcrop = NumberByKey("Hcrop", param, "=", ";")
variable Hsize = NumberByKey("Hsize", param, "=", ";")
variable Cpos = NumberByKey("Cpos", param, "=", ";")
variable Csize = NumberByKey("Csize", param, "=", ";")
prompt Lcrop, "Lower cropping region"
prompt Hcrop, "Upper cropping region"
prompt Lsize, "Lower background region"
prompt Hsize, "Upper background region"
prompt Cpos, "Center position"
prompt Csize, "Center integration region"
doprompt "int_linbg_reduction Parameters", lcrop, hcrop, lsize, hsize, cpos, csize
if (v_flag == 0)
param = ReplaceNumberByKey("Lcrop", param, Lcrop, "=", ";")
param = ReplaceNumberByKey("Lsize", param, Lsize, "=", ";")
param = ReplaceNumberByKey("Hcrop", param, Hcrop, "=", ";")
param = ReplaceNumberByKey("Hsize", param, Hsize, "=", ";")
param = ReplaceNumberByKey("Cpos", param, Cpos, "=", ";")
param = ReplaceNumberByKey("Csize", param, Csize, "=", ";")
endif
return v_flag
end
/// capture linear background reduction parameters from cursors in a graph.
///
/// PRELIMINARY - function arguments may change
///
/// sets reduction parameters from cursors in a graph.
/// the resulting parameters are copied to the global `s_reduction_params` string
/// used by the data explorer.
///
/// an even number of cursors (2 or more) must be set on the image.
/// cursor names and order do not matter,
/// except that the alphabetically first cursor which is attached to an image selects the image.
/// the cursors mark the following positions, from innermost to outermost pair:
///
/// 1. low and high limits of peak region.
/// if no cursors are present, the limits are set at 40% and 60% of the x-scale.
/// 2. peak-side boundary of lower and upper background region.
/// if two or less cursors are present, the default background region applies,
/// which extends from the peak limits up to the default cropping region.
/// the background region extends up to the cropping region defined by the third pair.
/// 3. lower and upper cropping region.
/// if four or less cursors are present, the default cropping region applies,
/// which is 11% on either side of the image in fixed mode, and 0% otherwise.
/// fixed mode is detected by the number of pixels (>= 992).
///
/// @note on profile graphs, the necessary cursors can be configured easily
/// by calling the ad_profile_cursor_mode() function, e.g.
/// `ad_profiles_cursor_mode(root:packages:pearl_explorer:preview_image, 1)`.
///
function /s capture_int_linbg_cursors()
string param = csr_int_linbg_reduction("")
svar /z global_params = root:packages:pearl_explorer:s_reduction_params
if (svar_exists(global_params))
global_params = param
endif
return param
end
/// calculate linear background reduction parameters from cursors in a graph.
///
/// PRELIMINARY - function arguments may change
///
/// calculates reduction parameters from cursors in a graph.
/// the resulting parameters are returned in a string.
///
/// an even number of cursors (2 or more) must be set on the image.
/// cursor names and order do not matter,
/// except that the alphabetically first cursor which is attached to an image selects the image.
/// the cursors mark the following positions, from innermost to outermost pair:
///
/// 1. low and high limits of peak region.
/// if no cursors are present, the limits are set at 40% and 60% of the x-scale.
/// 2. peak-side boundary of lower and upper background region.
/// if two or less cursors are present, the default background region applies,
/// which extends from the peak limits up to the default cropping region.
/// the background region extends up to the cropping region defined by the third pair.
/// 3. lower and upper cropping region.
/// if four or less cursors are present, the default cropping region applies,
/// which is 11% on either side of the image in fixed mode, and 0% otherwise.
/// fixed mode is detected by the number of pixels (>= 992).
///
/// @note on profile graphs, the necessary cursors can be configured easily
/// by calling the ad_profile_cursor_mode() function, e.g.
/// `ad_profiles_cursor_mode(root:packages:pearl_explorer:preview_image, 1)`.
///
/// @param win graph window name or empty string for top window.
///
/// @return parameter string for linear background subtraction
///
function /s csr_int_linbg_reduction(win)
string win
// read all cursor positions
variable ic
string sc
variable nc = 10
make /n=(nc) /free positions
variable np = 0
wave /z image = $""
string imagename = ""
string tracename = ""
string info
for (ic = 0; ic < nc; ic += 1)
sc = num2char(char2num("A") + ic)
wave /z wc = CsrWaveRef($sc, win)
info = CsrInfo($sc, win)
tracename = StringByKey("TNAME", info, ":", ";")
if (waveexists(wc) && (wavedims(wc) == 2))
if (!waveexists(image))
wave image = wc
imagename = tracename
endif
if (cmpstr(tracename, imagename) == 0)
positions[np] = pcsr($sc, win)
np += 1
endif
endif
endfor
np = floor(np / 2) * 2 // ignore odd cursor
redimension /n=(np) positions
sort positions, positions
// shift upper positions by one so that the rightmost pixel becomes 1.0
positions = p >= np / 2 ? positions + 1 : positions
positions = positions / dimsize(image, 0)
// map innermost cursor pair to peak center and size
variable ip2 = np / 2
variable ip1 = ip2 - 1
variable Cpos
variable Csize
if (ip1 >= 0)
Cpos = (positions[ip1] + positions[ip2]) / 2
Csize = positions[ip2] - positions[ip1]
else
// default: a small region in the center
Cpos = 0.5
Csize = 0.2
endif
// background region
ip1 -= 1
ip2 += 1
variable Lsize
variable Hsize
if (ip1 >= 0)
Lsize = positions[ip1]
Hsize = 1 - positions[ip2]
else
// default: everything outside the peak region
Lsize = Cpos - Csize / 2
Hsize = 1 - (Cpos + Csize / 2)
endif
// crop region
ip1 -= 1
ip2 += 1
variable Lcrop = 0
variable Hcrop = 0
if (ip1 >= 0)
Lcrop = positions[ip1]
Hcrop = 1 - positions[ip2]
else
// default: in fixed mode: dark corners of the EW4000 at PEARL, 0 otherwise
if (dimsize(image, 0) >= 992)
Lcrop = 0.11
Hcrop = 0.11
endif
endif
Lsize = max(Lsize - Lcrop, 0)
Hsize = max(Hsize - Hcrop, 0)
string param = ""
param = ReplaceNumberByKey("Lcrop", param, Lcrop, "=", ";")
param = ReplaceNumberByKey("Lsize", param, Lsize, "=", ";")
param = ReplaceNumberByKey("Hcrop", param, Hcrop, "=", ";")
param = ReplaceNumberByKey("Hsize", param, Hsize, "=", ";")
param = ReplaceNumberByKey("Cpos", param, Cpos, "=", ";")
param = ReplaceNumberByKey("Csize", param, Csize, "=", ";")
return param
end
/// linear-background subtracted integration reduction function.
///
/// data reduction function for adh5_load_reduced_detector.
/// cf. @ref adh5_default_reduction for an explanation of reduction functions.
///
/// this function calculates the average pixel value of each angular slice
/// in one center and two background intervals.
/// a background value is calculated at the center position
/// by linear interpolation from the two background values.
/// returns the center minus linear background in dest1.
/// returns the Poisson one-sigma error in dest2.
///
/// typical values (peak centered on detector, FWHM ~ 20 % of image)
/// Lcrop=0.11;Hcrop=0.11;Lsize=0.2;Hsize=0.2;Cpos=0.5;Csize=0.2
///
/// @param source scienta detector image, energy axis along X, angle axis along Y.
/// two-dimensional intensity distribution (image).
/// the scales are carried over to the result waves.
///
/// @param param parameters in a key1=value1;key2=value2;... list.
/// all region parameters are relative to the image size (0...1).
/// @arg Lcrop = size of the lower cropping region
/// @arg Hcrop = size of the upper cropping region
/// @arg Lsize = size of the lower background integration region
/// @arg Hsize = size of the upper background integration region
/// @arg Cpos = center position of the of the peak integration region
/// @arg Csize = size of the peak integration region
///
/// @return free wave containing references of the two result waves.
/// the first wave is the integral minus linear background.
/// the second wave is the Poisson one-sigma error.
///
threadsafe function /wave int_linbg_reduction(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable lcrop = NumberByKey("Lcrop", param, "=", ";")
variable lsize = NumberByKey("Lsize", param, "=", ";")
variable hcrop = NumberByKey("Hcrop", param, "=", ";")
variable hsize = NumberByKey("Hsize", param, "=", ";")
variable cpos = NumberByKey("Cpos", param, "=", ";")
variable csize = NumberByKey("Csize", param, "=", ";")
make /wave /free /n=2 result_waves
make /free /n=0 dest1, dest2
result_waves[0] = dest1
result_waves[1] = dest2
adh5_setup_profile(source, dest1, 1)
adh5_setup_profile(source, dest2, 1)
// validate parameters
// background parameters are optional, center parameter is required.
if (numtype(lcrop) != 0)
lcrop = 0
endif
if (numtype(lsize) != 0)
lsize = 0
endif
if (numtype(hcrop) != 0)
hcrop = 0
endif
if (numtype(hsize) != 0)
hsize = 0
endif
if (numtype(Cpos) != 0)
redimension /n=0 result_waves
return result_waves // Cpos parameter missing
endif
if (numtype(Csize) != 0)
redimension /n=0 result_waves
return result_waves // Csize parameter missing
endif
variable lpos = lcrop + lsize / 2
variable hpos = 1 - (hcrop + hsize / 2)
variable p0
variable p1
duplicate /free dest1, lbg, hbg
if (lsize > 0)
p0 = round(lcrop * nx)
p1 = round((lcrop + lsize) * nx)
ad_profile_y_w(source, p0, p1, lbg)
else
lbg = 0
endif
if (hsize > 0)
p0 = round((1 - hcrop - hsize) * nx)
p1 = round((1 - hcrop) * nx)
ad_profile_y_w(source, p0, p1, hbg)
else
hbg = 0
endif
if (csize > 0)
p0 = round((cpos - csize/2) * nx)
p1 = round((cpos + csize/2) * nx)
ad_profile_y_w(source, p0, p1, dest1)
else
dest1 = 0
endif
variable scale = (cpos - lpos) / (hpos - lpos)
dest2 = dest1
dest1 -= scale * (hbg - lbg) + lbg
dest2 = sqrt(dest2 + scale^2 * (hbg + lbg))
string s_note1
string s_note2
sprintf s_note1, "AxisLabelD=peak integral"
sprintf s_note2, "KineticEnergy=%.3f", cpos * nx * dimdelta(source, 0) + dimoffset(source, 0)
Note dest1, s_note1
Note dest1, s_note2
Note dest2, s_note1
Note dest2, s_note2
return result_waves
end
function prompt_int_quadbg_reduction(param)
string &param
variable Lcrop = NumberByKey("Lcrop", param, "=", ";")
variable Lsize = NumberByKey("Lsize", param, "=", ";")
variable Hcrop = NumberByKey("Hcrop", param, "=", ";")
variable Hsize = NumberByKey("Hsize", param, "=", ";")
variable Cpos = NumberByKey("Cpos", param, "=", ";")
variable Csize = NumberByKey("Csize", param, "=", ";")
prompt Lcrop, "Lower cropping region"
prompt Hcrop, "Upper cropping region"
prompt Lsize, "Lower background region"
prompt Hsize, "Upper background region"
prompt Cpos, "Center position"
prompt Csize, "Center integration region"
doprompt "int_quadbg_reduction Parameters", lcrop, hcrop, lsize, hsize, cpos, csize
if (v_flag == 0)
param = ReplaceNumberByKey("Lcrop", param, Lcrop, "=", ";")
param = ReplaceNumberByKey("Lsize", param, Lsize, "=", ";")
param = ReplaceNumberByKey("Hcrop", param, Hcrop, "=", ";")
param = ReplaceNumberByKey("Hsize", param, Hsize, "=", ";")
param = ReplaceNumberByKey("Cpos", param, Cpos, "=", ";")
param = ReplaceNumberByKey("Csize", param, Csize, "=", ";")
endif
return v_flag
end
/// integrate peak area minus a quadratic background
///
/// data reduction function for adh5_load_reduced_detector.
/// cf. @ref adh5_default_reduction for an explanation of reduction functions.
///
/// this function calculates the average pixel value of each angular slice
/// in one center and two background intervals.
/// a background value is calculated at the center position
/// by linear interpolation from the two background values.
/// returns the center minus linear background in dest1.
/// returns the Poisson one-sigma error in dest2.
///
/// typical values (peak centered on detector, FWHM ~ 20 % of image)
/// Lcrop=0.11;Hcrop=0.11;Lsize=0.2;Hsize=0.2;Cpos=0.5;Csize=0.2
///
/// @param source scienta detector image, energy axis along X, angle axis along Y.
/// two-dimensional intensity distribution (image).
/// the scales are carried over to the result waves.
///
/// @param param parameters in a key1=value1;key2=value2;... list.
/// all region parameters are relative to the image size (0...1).
/// @arg Lcrop = size of the lower cropping region
/// @arg Hcrop = size of the upper cropping region
/// @arg Lsize = size of the lower background integration region
/// @arg Hsize = size of the upper background integration region
/// @arg Cpos = center position of the of the peak integration region
/// @arg Csize = size of the peak integration region
///
/// @return free wave containing references of the two result waves.
/// the first wave is the integral minus linear background.
/// the second wave is the Poisson one-sigma error.
///
threadsafe function /wave int_quadbg_reduction(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable lcrop = NumberByKey("Lcrop", param, "=", ";")
variable lsize = NumberByKey("Lsize", param, "=", ";")
variable hcrop = NumberByKey("Hcrop", param, "=", ";")
variable hsize = NumberByKey("Hsize", param, "=", ";")
variable cpos = NumberByKey("Cpos", param, "=", ";")
variable csize = NumberByKey("Csize", param, "=", ";")
make /wave /free /n=2 result_waves
make /free /n=0 dest1, dest2
result_waves[0] = dest1
result_waves[1] = dest2
adh5_setup_profile(source, dest1, 1)
adh5_setup_profile(source, dest2, 1)
// validate parameters
// background parameters are optional, center parameter is required.
if (numtype(lcrop) != 0)
lcrop = 0
endif
if (numtype(lsize) != 0)
lsize = 0
endif
if (numtype(hcrop) != 0)
hcrop = 0
endif
if (numtype(hsize) != 0)
hsize = 0
endif
if (numtype(Cpos) != 0)
redimension /n=0 result_waves
return result_waves // Cpos parameter missing
endif
if (numtype(Csize) != 0)
redimension /n=0 result_waves
return result_waves // Csize parameter missing
endif
// crop boundaries
variable pcl = round(lcrop * nx)
variable pch = round((1 - hcrop) * nx)
// fit boundaries
variable pfl = round((lcrop + lsize) * nx)
variable pfh = round((1 - hcrop - hsize) * nx)
// integration boundaries
variable pil = round((cpos - csize/2) * nx)
variable pih = round((cpos + csize/2) * nx)
// prepare intermediate data buffer
make /n=(nx) /d /free profile, mask, fit
setscale /p x dimoffset(source,0), dimdelta(source,0), waveunits(source,0), profile, mask, fit
mask = ((p >= pcl) && (p < pfl)) || ((p >= pfh) && (p < pch))
variable qq
variable sp, sf
variable xil = x2pnt(profile, pil)
variable xih = x2pnt(profile, pih)
make /n=3 /free /d w_coef
for (qq = 0; qq < ny; qq += 1)
profile = source[p][qq]
curvefit /Q /NTHR=1 /W=2 poly 3, kwCWave=w_coef, profile /M=mask
fit = poly(w_coef, x)
sp = sum(profile, xil, xih)
sf = sum(fit, xil, xih)
dest1[qq] = sp - sf
dest2[qq] = sqrt(sp)
endfor
string s_note1
string s_note2
sprintf s_note1, "AxisLabelD=peak integral"
sprintf s_note2, "KineticEnergy=%.3f", cpos * nx * dimdelta(source, 0) + dimoffset(source, 0)
Note dest1, s_note1
Note dest1, s_note2
Note dest2, s_note1
Note dest2, s_note2
return result_waves
end
/// parameter dialog for the redim_linbg_reduction() function
///
/// @param param parameter string in a key1=value1;key2=value2;... list.
/// the parameter string is passed by reference.
/// see redim_linbg_reduction() for a description of parameters.
///
/// @return zero if the user clicked OK, non-zero if the user clicked Cancel.
///
function prompt_redim_linbg_reduction(param)
string &param
variable Lcrop = NumberByKey("Lcrop", param, "=", ";")
variable Lsize = NumberByKey("Lsize", param, "=", ";")
variable Hcrop = NumberByKey("Hcrop", param, "=", ";")
variable Hsize = NumberByKey("Hsize", param, "=", ";")
variable Cpos = NumberByKey("Cpos", param, "=", ";")
variable Csize = NumberByKey("Csize", param, "=", ";")
prompt Lcrop, "Lower cropping region"
prompt Hcrop, "Upper cropping region"
prompt Lsize, "Lower background region"
prompt Hsize, "Upper background region"
prompt Cpos, "Center position"
prompt Csize, "Center integration region"
doprompt "redim_linbg_reduction Parameters", lcrop, hcrop, lsize, hsize, cpos, csize
if (v_flag == 0)
param = ReplaceNumberByKey("Lcrop", param, Lcrop, "=", ";")
param = ReplaceNumberByKey("Lsize", param, Lsize, "=", ";")
param = ReplaceNumberByKey("Hcrop", param, Hcrop, "=", ";")
param = ReplaceNumberByKey("Hsize", param, Hsize, "=", ";")
param = ReplaceNumberByKey("Cpos", param, Cpos, "=", ";")
param = ReplaceNumberByKey("Csize", param, Csize, "=", ";")
endif
return v_flag
end
/// linear background reduction function for incorrectly dimensioned scienta image
///
/// if the energy step size does not divide the energy range to an integer number,
/// the scienta image is exported with the wrong array size.
/// this can be fixed by redimensioning the array.
///
/// the current implementation works in the case where dimension 0 needs to be incremented.
/// the function may be generalized to dimension 1 and/or decrementing by additional parameters.
/// it is not known yet whether a generalization is needed or whether it can cover all cases.
///
/// background subtraction and peak integration is the same as by the int_linbg_reduction() function.
///
/// @param source source wave
/// Scienta detector image, energy axis along X, angle axis along Y
///
/// @param param parameter string in a key1=value1;key2=value2;... list.
/// the parameter string is passed by reference.
///
/// all region parameters are relative to the image size (0...1).
/// @arg Lcrop size of the lower cropping region
/// @arg Hcrop size of the upper cropping region
/// @arg Lsize size of the lower background integration region
/// @arg Hsize size of the upper background integration region
/// @arg Cpos center position of the of the peak integration region
/// @arg Csize size of the peak integration region
///
/// typical values (peak centered on detector, FWHM ~ 20 % of image)
/// Lcrop=0.11;Hcrop=0.11;Lsize=0.2;Hsize=0.2;Cpos=0.5;Csize=0.2
///
/// @return free wave containing references of the two result waves.
/// the first wave is the integral minus linear background.
/// the second wave is the Poisson one-sigma error.
///
threadsafe function /wave redim_linbg_reduction(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
duplicate /free source, source_redim
redimension /n=(nx * ny) source_redim
nx += 1
redimension /n=(nx, ny) source_redim
return int_linbg_reduction(source_redim, param)
end
/// apply the gauss4_reduction function to a single image
///
/// useful for testing or manual processing.
/// to debug, (temporarily) remove the threadsafe attribute from the gauss2_reduction function.
///
function test_gauss4_reduction(image)
wave image
string param = ""
param = ReplaceNumberByKey("rngl", param, -inf, "=", ";")
param = ReplaceNumberByKey("rngh", param, inf, "=", ";")
param = ReplaceNumberByKey("npeaks", param, 4, "=", ";")
param = ReplaceNumberByKey("ybox", param, 1, "=", ";")
param = ReplaceNumberByKey("pos1", param, 11, "=", ";")
param = ReplaceNumberByKey("wid1", param, 0.1, "=", ";")
param = ReplaceNumberByKey("pos2", param, 12, "=", ";")
param = ReplaceNumberByKey("wid2", param, 0.2, "=", ";")
param = ReplaceNumberByKey("pos3", param, 13, "=", ";")
param = ReplaceNumberByKey("wid3", param, 0.3, "=", ";")
param = ReplaceNumberByKey("pos4", param, 14, "=", ";")
param = ReplaceNumberByKey("wid4", param, 0.4, "=", ";")
wave /wave results = gauss4_reduction(image, param)
variable npk = numpnts(results) / 2
variable ipk
string sw
for (ipk = 0; ipk < npk; ipk += 1)
sw = "test_int_" + num2str(ipk + 1)
duplicate /o results[ipk], $sw
sw = "test_sig_" + num2str(ipk + 1)
duplicate /o results[ipk + npk], $sw
endfor
end
/// prompt for the gauss4_reduction parameters
///
///
function prompt_gauss4_reduction(param)
string &param
variable rngl = NumberByKey("rngl", param, "=", ";")
variable rngh = NumberByKey("rngh", param, "=", ";")
variable pos1 = NumberByKey("pos1", param, "=", ";")
variable wid1 = NumberByKey("wid1", param, "=", ";")
variable pos2 = NumberByKey("pos2", param, "=", ";")
variable wid2 = NumberByKey("wid2", param, "=", ";")
variable pos3 = NumberByKey("pos3", param, "=", ";")
variable wid3 = NumberByKey("wid3", param, "=", ";")
variable pos4 = NumberByKey("pos4", param, "=", ";")
variable wid4 = NumberByKey("wid4", param, "=", ";")
variable npeaks = NumberByKey("npeaks", param, "=", ";")
variable ybox = NumberByKey("ybox", param, "=", ";")
prompt rngl, "range low"
prompt rngh, "range high"
prompt pos1, "position 1"
prompt wid1, "width 1"
prompt pos2, "position 2"
prompt wid2, "width 2"
prompt pos3, "position 3"
prompt wid3, "width 3"
prompt pos4, "position 4"
prompt wid4, "width 4"
prompt npeaks, "number of peaks"
prompt ybox, "ybox (1 or 3)"
doprompt "gauss4_reduction reduction parameters (1/2)", rngl, rngh, npeaks, ybox
if (v_flag == 0)
param = ReplaceNumberByKey("rngl", param, rngl, "=", ";")
param = ReplaceNumberByKey("rngh", param, rngh, "=", ";")
param = ReplaceNumberByKey("npeaks", param, npeaks, "=", ";")
param = ReplaceNumberByKey("ybox", param, ybox, "=", ";")
doprompt "gauss4_reduction reduction parameters (2/2)", pos1, wid1, pos2, wid2, pos3, wid3, pos4, wid4
if (v_flag == 0)
param = ReplaceNumberByKey("pos1", param, pos1, "=", ";")
param = ReplaceNumberByKey("wid1", param, wid1, "=", ";")
param = ReplaceNumberByKey("pos2", param, pos2, "=", ";")
param = ReplaceNumberByKey("wid2", param, wid2, "=", ";")
param = ReplaceNumberByKey("pos3", param, pos3, "=", ";")
param = ReplaceNumberByKey("wid3", param, wid3, "=", ";")
param = ReplaceNumberByKey("pos4", param, pos4, "=", ";")
param = ReplaceNumberByKey("wid4", param, wid4, "=", ";")
endif
endif
return v_flag
end
/// fit horizontal cuts of an image with up to four gaussian peaks on a linear background
///
/// the function fits each horizontal profile (EDC) with four gaussian peaks on a linear background.
/// the position and width of the peaks is kept fixed according to input parameters.
/// the peak amplitude is constrained to positive value.
///
/// the width parameter is defined as in Igor's gauss curve fit function
/// (standard deviation divided by the square root of two).
/// the return value in dest1 is the integrated peak of one of the peaks.
/// dest2 returns the corresponding error estimate.
///
/// @param source source wave.
/// two-dimensional distribution of counts.
/// for correct weighting and error estimation it is important
/// that the source wave contains actual counts (Poisson statistics).
///
/// @param param (in, out) semicolon-separated key=value list of processing parameters.
/// this is a pass-by-reference argument.
/// the following parameters are required.
/// position, width and limit parameters are on the x (energy) scale.
/// @arg rngl low limit of fit interval
/// @arg rngh high limit of fit interval
/// @arg pos1 position of peak 1
/// @arg wid1 width of peak 1
/// @arg pos2 position of peak 2
/// @arg wid2 width of peak 2
/// @arg pos3 position of peak 3
/// @arg wid3 width of peak 3
/// @arg pos4 position of peak 4
/// @arg wid4 width of peak 4
/// @arg npeaks number of peaks to fit: 1...4
/// the others are held at amplitude 0.
/// @arg ybox box size of averaging in y direction, must be 1 or 3.
/// other values lead to corrupt data.
///
/// @return free wave containing references of the result waves.
/// the number of waves is two times the number of peaks that are fit.
/// the first npeaks waves contain the peak integrals,
/// the second npeaks waves the corresponding error estimates.
///
threadsafe function /wave gauss4_reduction(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable rngl = NumberByKey("rngl", param, "=", ";")
variable rngh = NumberByKey("rngh", param, "=", ";")
variable pos1 = NumberByKey("pos1", param, "=", ";")
variable wid1 = NumberByKey("wid1", param, "=", ";")
variable pos2 = NumberByKey("pos2", param, "=", ";")
variable wid2 = NumberByKey("wid2", param, "=", ";")
variable pos3 = NumberByKey("pos3", param, "=", ";")
variable wid3 = NumberByKey("wid3", param, "=", ";")
variable pos4 = NumberByKey("pos4", param, "=", ";")
variable wid4 = NumberByKey("wid4", param, "=", ";")
variable npeaks = NumberByKey("npeaks", param, "=", ";")
variable ybox = NumberByKey("ybox", param, "=", ";")
// prepare curve fit
variable ipk
make /free xprof
adh5_setup_profile(source, xprof, 0)
duplicate /free xprof, xprof_sig
variable pl = max(x2pnt(xprof, rngl), 0)
variable ph = min(x2pnt(xprof, rngh), numpnts(xprof) - 1)
make /free /n=(npeaks) peak_coef
peak_coef = p * 3 + 2
variable n_coef = npeaks * 3 + 2
make /free /d /n=14 w_coef, W_sigma
w_coef[0] = {0, 0, 1, pos1, wid1, 1, pos2, wid2, 1, pos3, wid3, 1, pos4, wid4}
redimension /n=(n_coef) w_coef, w_sigma
// text constraints cannot be used in threadsafe functions.
// the following matrix-vector forumlation is equivalent to:
// make /free /T /N=6 constraints
// constraints[0] = {"K2 >= 0", "K5 >= 0", "K8 >= 0", "K11 >= 0", "K1 <= 0", "K0 => 0"}
make /free /n=(npeaks + 2, numpnts(w_coef)) cmat
make /free /n=(npeaks + 2) cvec
cmat = 0
cmat[0][0] = -1
cmat[1][1] = 1
cvec = 0
string hold = "00"
for (ipk=0; ipk < npeaks; ipk += 1)
hold += "011"
cmat[2 + ipk][2 + ipk*3] = -1
endfor
// prepare output
make /free /n=(npeaks * 2) /wave result_waves
string s_note
for (ipk = 0; ipk < npeaks; ipk += 1)
make /free /n=0 pk_int
adh5_setup_profile(source, pk_int, 1)
pk_int = nan
sprintf s_note, "AxisLabelD=peak %u integral", ipk+1
Note pk_int, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * 3]
Note pk_int, s_note
result_waves[ipk] = pk_int
make /free /n=0 pk_sig
adh5_setup_profile(source, pk_sig, 1)
pk_sig = nan
sprintf s_note, "AxisLabelD=peak %u sigma", ipk+1
Note pk_sig, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * 3]
Note pk_sig, s_note
result_waves[ipk + npeaks] = pk_sig
waveclear pk_int, pk_sig
endfor
// loop over angle scale
variable p0 = 0
variable p1 = dimsize(source, 1) - 1
variable pp
variable wmin
variable wmax
if (ybox > 1)
p0 += ceil((ybox - 1) / 2)
p1 -= ceil((ybox - 1) / 2)
endif
variable V_FitNumIters
variable V_FitError
for (pp = p0; pp <= p1; pp += 1)
// box average
xprof = source[p][pp]
if (ybox > 1)
xprof += source[p][pp-1] + source[p][pp+1]
endif
xprof_sig = max(sqrt(xprof), 1)
xprof /= ybox
xprof_sig /= ybox
// generate guess
wmin = wavemin(xprof)
wmax = wavemax(xprof)
w_coef[0] = wmin
w_coef[1] = 0
for (ipk=0; ipk < npeaks; ipk += 1)
w_coef[2 + ipk*3] = wmax - wmin
endfor
V_FitError = 0
FuncFit /H=hold /Q /NTHR=1 /N /W=2 MultiGaussLinBG_AO w_coef xprof[pl,ph] /C={cmat, cvec} /I=1 /W=xprof_sig[pl,ph]
wave w_sigma
// retrieve results, leave them at nan if the fit did not converge
if (V_FitNumIters < 40)
for (ipk = 0; ipk < npeaks; ipk += 1)
wave val = result_waves[ipk]
wave sig = result_waves[ipk + npeaks]
val[pp] = max(w_coef[peak_coef[ipk]], 0)
sig[pp] = max(w_sigma[peak_coef[ipk]], 0)
endfor
endif
endfor
// calculate integral
for (ipk = 0; ipk < npeaks; ipk += 1)
wave val = result_waves[ipk]
wave sig = result_waves[ipk + npeaks]
val *= w_coef[peak_coef[ipk] + 2] * sqrt(pi)
sig *= w_coef[peak_coef[ipk] + 2] * sqrt(pi)
endfor
return result_waves
end
threadsafe function /wave gauss6_reduction(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable rngl = NumberByKey("rngl", param, "=", ";")
variable rngh = NumberByKey("rngh", param, "=", ";")
variable pos1 = NumberByKey("pos1", param, "=", ";")
variable wid1 = NumberByKey("wid1", param, "=", ";")
variable pos2 = NumberByKey("pos2", param, "=", ";")
variable wid2 = NumberByKey("wid2", param, "=", ";")
variable pos3 = NumberByKey("pos3", param, "=", ";")
variable wid3 = NumberByKey("wid3", param, "=", ";")
variable pos4 = NumberByKey("pos4", param, "=", ";")
variable wid4 = NumberByKey("wid4", param, "=", ";")
variable pos5 = NumberByKey("pos5", param, "=", ";")
variable wid5 = NumberByKey("wid5", param, "=", ";")
variable pos6 = NumberByKey("pos6", param, "=", ";")
variable wid6 = NumberByKey("wid6", param, "=", ";")
variable npeaks = NumberByKey("npeaks", param, "=", ";")
variable ybox = NumberByKey("ybox", param, "=", ";")
// prepare curve fit
variable ipk
make /free xprof
adh5_setup_profile(source, xprof, 0)
duplicate /free xprof, xprof_sig
variable pl = max(x2pnt(xprof, rngl), 0)
variable ph = min(x2pnt(xprof, rngh), numpnts(xprof) - 1)
make /free /n=(npeaks) peak_coef
peak_coef = p * 3 + 2
variable n_coef = npeaks * 3 + 2
make /free /d /n=(n_coef) w_coef, W_sigma
w_coef[0] = {0, 0, 1, pos1, wid1, 1, pos2, wid2, 1, pos3, wid3, 1, pos4, wid4, 1, pos5, wid5, 1, pos6, wid6}
redimension /n=(n_coef) w_coef, w_sigma
// text constraints cannot be used in threadsafe functions.
// the following matrix-vector forumlation is equivalent to:
// make /free /T /N=6 constraints
// constraints[0] = {"K2 >= 0", "K5 >= 0", "K8 >= 0", "K11 >= 0", "K1 <= 0", "K0 => 0"}
make /free /n=(npeaks + 2, numpnts(w_coef)) cmat
make /free /n=(npeaks + 2) cvec
cmat = 0
cmat[0][0] = -1
cmat[1][1] = 1
cvec = 0
string hold = "00"
for (ipk=0; ipk < npeaks; ipk += 1)
hold += "011"
cmat[2 + ipk][2 + ipk*3] = -1
endfor
// prepare output
make /free /n=(npeaks * 2) /wave result_waves
string s_note
for (ipk = 0; ipk < npeaks; ipk += 1)
make /free /n=0 pk_int
adh5_setup_profile(source, pk_int, 1)
pk_int = nan
sprintf s_note, "AxisLabelD=peak %u integral", ipk+1
Note pk_int, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * 3]
Note pk_int, s_note
result_waves[ipk] = pk_int
make /free /n=0 pk_sig
adh5_setup_profile(source, pk_sig, 1)
pk_sig = nan
sprintf s_note, "AxisLabelD=peak %u sigma", ipk+1
Note pk_sig, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * 3]
Note pk_sig, s_note
result_waves[ipk + npeaks] = pk_sig
waveclear pk_int, pk_sig
endfor
// loop over angle scale
variable p0 = 0
variable p1 = dimsize(source, 1) - 1
variable pp
variable wmin
variable wmax
if (ybox > 1)
p0 += ceil((ybox - 1) / 2)
p1 -= ceil((ybox - 1) / 2)
endif
variable V_FitNumIters
variable V_FitError
for (pp = p0; pp <= p1; pp += 1)
// box average
xprof = source[p][pp]
if (ybox > 1)
xprof += source[p][pp-1] + source[p][pp+1]
endif
xprof_sig = max(sqrt(xprof), 1)
xprof /= ybox
xprof_sig /= ybox
// generate guess
wmin = wavemin(xprof)
wmax = wavemax(xprof)
w_coef[0] = wmin
w_coef[1] = 0
for (ipk=0; ipk < npeaks; ipk += 1)
w_coef[2 + ipk*3] = wmax - wmin
endfor
V_FitError = 0
FuncFit /H=hold /Q /NTHR=1 /N /W=2 MultiGaussLinBG_AO w_coef xprof[pl,ph] /C={cmat, cvec} /I=1 /W=xprof_sig[pl,ph]
wave w_sigma
// retrieve results, leave them at nan if the fit did not converge
if (V_FitNumIters < 40)
for (ipk = 0; ipk < npeaks; ipk += 1)
wave val = result_waves[ipk]
wave sig = result_waves[ipk + npeaks]
val[pp] = max(w_coef[peak_coef[ipk]], 0)
sig[pp] = max(w_sigma[peak_coef[ipk]], 0)
endfor
endif
endfor
// calculate integral
for (ipk = 0; ipk < npeaks; ipk += 1)
wave val = result_waves[ipk]
wave sig = result_waves[ipk + npeaks]
val *= w_coef[peak_coef[ipk] + 2] * sqrt(pi)
sig *= w_coef[peak_coef[ipk] + 2] * sqrt(pi)
endfor
return result_waves
end
/// find peak positions for the gauss-fit reduction function
///
/// the function fits a reference spectrum with up to four gaussian peaks on a linear background.
/// and returns the results in a parameter string for the @ref gauss4_reduction function.
///
/// @param spectrum reference spectrum (EDC),
/// e.g. a ScientaImage integrated over the scan axes:
/// @code ad_extract_rod(ScientaImage, nan, nan, -inf, inf, -inf, inf, "ScientaSpectrum").
///
/// @param peakpos initial guess of the peak position.
/// the length of this wave determines the number of peaks to fit.
///
/// @return semicolon-separated key=value list of processing parameters
/// for use with the reduction functions.
/// position, width and limit parameters are on the x (energy) scale.
/// @arg rngl low limit of fit interval
/// @arg rngh high limit of fit interval
/// @arg pos1 position of peak 1
/// @arg wid1 width of peak 1
/// @arg pos2 position of peak 2
/// @arg wid2 width of peak 2
/// @arg pos3 position of peak 3
/// @arg wid3 width of peak 3
/// @arg pos4 position of peak 4
/// @arg wid4 width of peak 4
/// @arg return select result to return, "amp1" ... "amp4"
/// @arg npeaks number of peaks to fit: 1...4
/// the others are held at amplitude 0.
/// @arg ybox box size of averaging in y direction, must be 1 or 3.
/// other values lead to corrupt data.
///
function /s find_gauss4_reduction_params(spectrum, peakpos)
wave spectrum
wave peakpos
string param = ""
variable wmin = wavemin(spectrum)
variable wmax = wavemax(spectrum)
// read parameters
variable rngl = dimoffset(spectrum, 0)
variable rngh = dimoffset(spectrum, 0) + dimdelta(spectrum, 0) * (dimsize(spectrum, 0) - 1)
make /n=4 /free positions, widths
variable npeaks = numpnts(peakpos)
variable ybox = 1
positions = 0
positions[0, npeaks-1] = peakpos[p]
widths = 0.2
variable n_coef = npeaks * 3 + 2
make /free /d /n=(n_coef) w_coef
w_coef = 0
w_coef[0] = wmin
w_coef[1] = 0
make /free /n=(2+npeaks, numpnts(w_coef)) cmat
make /free /n=(2+npeaks) cvec
cmat = 0
cmat[0][0] = -1
cmat[1][1] = 1
cvec = 0
variable ip
for (ip=0; ip < npeaks; ip += 1)
cmat[2 + ip][2 + ip*3] = -1
w_coef[2 + ip*3] = wmax - wmin
w_coef[3 + ip*3] = peakpos[ip]
w_coef[4 + ip*3] = widths[ip]
endfor
variable V_FitNumIters
FuncFit /Q /NTHR=1 /N MultiGaussLinBG w_coef spectrum /C={cmat, cvec}
for (ip=0; ip < npeaks; ip += 1)
positions[ip] = w_coef[3 + ip * 3]
widths[ip ] = abs(w_coef[4 + ip * 3])
endfor
for (ip=npeaks; ip < 4; ip += 1)
positions[ip] = 0
widths[ip] = 0.2
endfor
param = ReplaceNumberByKey("rngl", param, rngl, "=", ";")
param = ReplaceNumberByKey("rngh", param, rngh, "=", ";")
param = ReplaceNumberByKey("npeaks", param, npeaks, "=", ";")
param = ReplaceNumberByKey("ybox", param, ybox, "=", ";")
param = ReplaceNumberByKey("pos1", param, positions[0], "=", ";")
param = ReplaceNumberByKey("wid1", param, widths[0], "=", ";")
param = ReplaceNumberByKey("pos2", param, positions[1], "=", ";")
param = ReplaceNumberByKey("wid2", param, widths[1], "=", ";")
param = ReplaceNumberByKey("pos3", param, positions[2], "=", ";")
param = ReplaceNumberByKey("wid3", param, widths[2], "=", ";")
param = ReplaceNumberByKey("pos4", param, positions[3], "=", ";")
param = ReplaceNumberByKey("wid4", param, widths[3], "=", ";")
return param
end
/// fit horizontal cuts of an image with up to four voigtian peaks on a linear background
///
/// the function fits each horizontal profile (EDC) with four voigtian peaks on a linear background.
/// the position, width and shape of the peaks is kept fixed according to input parameters.
/// the peak amplitude is constrained to positive value.
///
/// the width and shape parameters are defined as in Igor's VoigtFunc:
/// width is the width of the gaussian component,
/// shape * width is the width of the lorentzian component.
///
/// @param source source wave.
/// two-dimensional distribution of counts.
/// for correct weighting and error estimation it is important
/// that the source wave contains actual counts (Poisson statistics).
///
/// @param param (in, out) semicolon-separated key=value list of processing parameters.
/// this is a pass-by-reference argument.
/// the following parameters are required.
/// position, width and limit parameters are on the x (energy) scale.
/// @arg rngl low limit of fit interval
/// @arg rngh high limit of fit interval
/// @arg pos1 position of peak 1
/// @arg wid1 width of peak 1
/// @arg shp1 shape of peak 1
/// @arg pos2 position of peak 2
/// @arg wid2 width of peak 2
/// @arg shp2 shape of peak 2
/// @arg pos3 position of peak 3
/// @arg wid3 width of peak 3
/// @arg shp3 shape of peak 3
/// @arg pos4 position of peak 4
/// @arg wid4 width of peak 4
/// @arg shp4 shape of peak 4
/// @arg npeaks number of peaks to fit: 1...4
/// the others are held at amplitude 0.
///
/// @return free wave containing references of the result waves.
/// the number of waves is two times the number of peaks that are fit.
/// the first npeaks waves contain the peak amplitudes,
/// the second npeaks waves the corresponding error estimates.
///
threadsafe function /wave voigt4_reduction(source, param)
wave source
string &param
dfref orig_dfr = GetDataFolderDFR()
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable rngl = NumberByKey("rngl", param, "=", ";")
variable rngh = NumberByKey("rngh", param, "=", ";")
variable pos1 = NumberByKey("pos1", param, "=", ";")
variable wid1 = NumberByKey("wid1", param, "=", ";")
variable shp1 = NumberByKey("shp1", param, "=", ";")
variable pos2 = NumberByKey("pos2", param, "=", ";")
variable wid2 = NumberByKey("wid2", param, "=", ";")
variable shp2 = NumberByKey("shp2", param, "=", ";")
variable pos3 = NumberByKey("pos3", param, "=", ";")
variable wid3 = NumberByKey("wid3", param, "=", ";")
variable shp3 = NumberByKey("shp3", param, "=", ";")
variable pos4 = NumberByKey("pos4", param, "=", ";")
variable wid4 = NumberByKey("wid4", param, "=", ";")
variable shp4 = NumberByKey("shp4", param, "=", ";")
variable npeaks = NumberByKey("npeaks", param, "=", ";")
// prepare curve fit
variable ipk
make /free xprof
adh5_setup_profile(source, xprof, 0)
duplicate /free xprof, xprof_sig
variable pl = max(x2pnt(xprof, rngl), 0)
variable ph = min(x2pnt(xprof, rngh), numpnts(xprof) - 1)
make /free /n=(npeaks) peak_coef
variable coef_per_peak = 4
peak_coef = p * coef_per_peak + 2
variable n_coef = npeaks * coef_per_peak + 2
make /free /d /n=18 w_coef, W_sigma
w_coef[0] = {0, 0, 1, pos1, wid1, shp1, 1, pos2, wid2, shp2, 1, pos3, wid3, shp3, 1, pos4, wid4, shp4}
redimension /n=(n_coef) w_coef, w_sigma
// text constraints cannot be used in threadsafe functions.
// the following matrix-vector formulation enforces all peak amplitudes to be positive.
make /free /n=(npeaks, numpnts(w_coef)) cmat
make /free /n=(npeaks) cvec
cmat = 0
cvec = 0
string hold = "00"
for (ipk=0; ipk < npeaks; ipk += 1)
hold += "0111"
cmat[ipk][2 + ipk * coef_per_peak] = -1
endfor
// prepare output
make /free /n=(npeaks * 2) /wave result_waves
string s_note
for (ipk = 0; ipk < npeaks; ipk += 1)
make /free /n=0 pk_int
adh5_setup_profile(source, pk_int, 1)
pk_int = nan
sprintf s_note, "AxisLabelD=peak %u integral", ipk+1
Note pk_int, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * coef_per_peak]
Note pk_int, s_note
result_waves[ipk] = pk_int
make /free /n=0 pk_sig
adh5_setup_profile(source, pk_sig, 1)
pk_sig = nan
sprintf s_note, "AxisLabelD=peak %u sigma", ipk+1
Note pk_sig, s_note
sprintf s_note, "KineticEnergy=%.3f", w_coef[3 + ipk * coef_per_peak]
Note pk_sig, s_note
result_waves[ipk + npeaks] = pk_sig
waveclear pk_int, pk_sig
endfor
// loop over angle scale
variable p0 = 0
variable p1 = dimsize(source, 1) - 1
variable pp
variable wmin
variable wmax
variable V_FitNumIters
variable V_FitError
for (pp = p0; pp <= p1; pp += 1)
xprof = source[p][pp]
xprof_sig = max(sqrt(xprof), 1)
// generate guess
wmin = wavemin(xprof)
wmax = wavemax(xprof)
w_coef[0] = wmin
w_coef[1] = 0
for (ipk=0; ipk < npeaks; ipk += 1)
w_coef[2 + ipk * coef_per_peak] = wmax - wmin
endfor
V_FitError = 0
FuncFit /H=hold /Q /N /W=2 MultiVoigtLinBG_AO w_coef xprof[pl,ph] /C={cmat, cvec} /I=1 /W=xprof_sig[pl,ph]
wave w_sigma
// retrieve results, leave them at nan if the fit did not converge
if (V_FitNumIters < 40)
for (ipk = 0; ipk < npeaks; ipk += 1)
wave val = result_waves[ipk]
wave sig = result_waves[ipk + npeaks]
val[pp] = max(w_coef[peak_coef[ipk]], 0)
sig[pp] = max(w_sigma[peak_coef[ipk]], 0)
endfor
endif
endfor
SetDataFolder orig_dfr
return result_waves
end
/// prompt for the voigt4_reduction parameters
///
///
function prompt_voigt4_reduction(param)
string &param
variable rngl = NumberByKey("rngl", param, "=", ";")
variable rngh = NumberByKey("rngh", param, "=", ";")
variable pos1 = NumberByKey("pos1", param, "=", ";")
variable wid1 = NumberByKey("wid1", param, "=", ";")
variable shp1 = NumberByKey("shp1", param, "=", ";")
variable pos2 = NumberByKey("pos2", param, "=", ";")
variable wid2 = NumberByKey("wid2", param, "=", ";")
variable shp2 = NumberByKey("shp2", param, "=", ";")
variable pos3 = NumberByKey("pos3", param, "=", ";")
variable wid3 = NumberByKey("wid3", param, "=", ";")
variable shp3 = NumberByKey("shp3", param, "=", ";")
variable pos4 = NumberByKey("pos4", param, "=", ";")
variable wid4 = NumberByKey("wid4", param, "=", ";")
variable shp4 = NumberByKey("shp4", param, "=", ";")
variable npeaks = NumberByKey("npeaks", param, "=", ";")
variable dummy = nan
prompt rngl, "range low"
prompt rngh, "range high"
prompt pos1, "position 1"
prompt wid1, "width 1"
prompt shp1, "shape 1"
prompt pos2, "position 2"
prompt wid2, "width 2"
prompt shp2, "shape 2"
prompt pos3, "position 3"
prompt wid3, "width 3"
prompt shp3, "shape 3"
prompt pos4, "position 4"
prompt wid4, "width 4"
prompt shp4, "shape 4"
prompt npeaks, "number of peaks"
prompt dummy, "(not used)"
doprompt "voigt4_reduction reduction parameters (1/2)", rngl, rngh, npeaks, dummy, pos1, pos2, pos3, pos4
if (v_flag == 0)
param = ReplaceNumberByKey("rngl", param, rngl, "=", ";")
param = ReplaceNumberByKey("rngh", param, rngh, "=", ";")
param = ReplaceNumberByKey("npeaks", param, npeaks, "=", ";")
param = ReplaceNumberByKey("pos1", param, pos1, "=", ";")
param = ReplaceNumberByKey("pos2", param, pos2, "=", ";")
param = ReplaceNumberByKey("pos3", param, pos3, "=", ";")
param = ReplaceNumberByKey("pos4", param, pos4, "=", ";")
doprompt "voigt4_reduction reduction parameters (2/2)", wid1, shp1, wid2, shp2, wid3, shp3, wid4, shp4
if (v_flag == 0)
param = ReplaceNumberByKey("wid1", param, wid1, "=", ";")
param = ReplaceNumberByKey("shp1", param, shp1, "=", ";")
param = ReplaceNumberByKey("wid2", param, wid2, "=", ";")
param = ReplaceNumberByKey("shp2", param, shp2, "=", ";")
param = ReplaceNumberByKey("wid3", param, wid3, "=", ";")
param = ReplaceNumberByKey("shp3", param, shp3, "=", ";")
param = ReplaceNumberByKey("wid4", param, wid4, "=", ";")
param = ReplaceNumberByKey("shp4", param, shp4, "=", ";")
endif
endif
return v_flag
end
/// apply the Shockley_anglefit function to a single image
///
/// useful for testing or manual processing
/// since the Shockley_anglefit function cannot be called from the command line directly.
///
/// @param branch -1 or +1: select negative (positive) angles for the fit interval, respectively
///
function test_shockley_anglefit(image, branch)
wave image
variable branch
string param = ""
param = ReplaceStringByKey("branch", param, num2str(branch), "=", ";")
string s_branch
if (branch >= 0)
s_branch = "p"
else
s_branch = "n"
endif
string pkpos_name = "saf_pkpos_" + s_branch
string pkwid_name = "saf_pkwid_" + s_branch
wave /wave results = shockley_anglefit(image, param)
duplicate results[0], $pkpos_name
duplicate results[1], $pkwid_name
end
function prompt_Shockley_anglefit(param)
string &param
variable branch = NumberByKey("branch", param, "=", ";")
prompt branch, "Branch (-1 or +1)"
doprompt "Shockley_anglefit_reduction Parameters", branch
if (v_flag == 0)
param = ReplaceNumberByKey("branch", param, branch, "=", ";")
endif
return v_flag
end
/// data reduction function for analysing the Cu(111) Shockley surface state.
///
/// do curve fitting of one branch of the surface state.
/// the result is peak position versus energy.
///
/// TODO: this function contains hard-coded parameters. please generalize as necessary.
///
/// @param source scienta detector image, energy axis along X, angle axis along Y.
/// two-dimensional intensity distribution (image).
/// the scales are carried over to the result waves.
/// for correct weighting and error estimation it is important
/// that the source wave contains actual counts (Poisson statistics).
///
/// @param param (in, out) semicolon-separated key=value list of processing parameters.
/// this is a pass-by-reference argument.
/// the following parameters are required.
/// @arg branch -1 or +1: select negative (positive) angles for the fit interval, respectively
///
/// @return free wave containing references of the result waves.
/// @arg result[0] peak position
/// @arg result[1] peak width (sigma)
///
threadsafe function /wave Shockley_anglefit(source, param)
wave source
string &param
variable nx = dimsize(source, 0)
variable ny = dimsize(source, 1)
// read parameters
variable branch = NumberByKey("branch", param, "=", ";")
// validate parameters
if (numtype(branch) != 0)
branch = +1
endif
// prepare output
make /wave /free /n=2 result_waves
make /free /n=0 dest1, dest2
result_waves[0] = dest1
result_waves[1] = dest2
adh5_setup_profile(source, dest1, 0)
adh5_setup_profile(source, dest2, 0)
dest1 = nan
dest2 = nan
// select angle range
// hard-coded for a particular measurement series
variable y0
variable y1
if (branch < 0)
y0 = -5
y1 = 0
else
y0 = 0
y1 = 5
endif
// select energy range
// start at the point of highest intensity and go up 0.45 eV
variable p0
variable p1
variable q0
variable q1
duplicate /free dest1, center
q0 = round((y0 - dimoffset(source, 1)) / dimdelta(source, 1))
q1 = round((y1 - dimoffset(source, 1)) / dimdelta(source, 1))
ad_profile_x_w(source, q0, q1, center)
wavestats /q/m=1 center
p0 = round((v_maxloc - dimoffset(source, 0)) / dimdelta(source, 0))
p1 = round((v_maxloc + 0.4 - dimoffset(source, 0)) / dimdelta(source, 0))
// prepare intermediate data buffer
make /n=(ny)/d/free profile
setscale /p x dimoffset(source,1), dimdelta(source,1), waveunits(source,1), profile
variable pp
for (pp = p0; pp <= p1; pp += 1)
profile = source[pp][p]
curvefit /Q /NTHR=1 /W=2 gauss profile(y0,y1)
wave w_coef
dest1[pp] = w_coef[2]
dest2[pp] = w_coef[3]
endfor
return result_waves
end
function scienta_norm(w, x): fitfunc
wave w
variable x
return w[0] * (x^2 - w[1]^2)
end
function /wave fit_scienta_ang_transm(data, params)
wave data // measured angular distribution (1D)
wave /z params
if (!waveexists(params))
make /n=12 /o params
endif
redimension /n=12/d params
variable h = wavemax(data) - wavemin(data)
params[0] = h / 2
params[1] = 0
params[2] = 7
params[3] = h / 4
params[4] = -23
params[5] = 4
params[6] = h / 4
params[7] = +23
params[8] = 4
params[9] = h / 2
params[10] = 0
params[11] = -0.001
FuncFit /NTHR=0 /q scienta_ang_transm params data
return params
end
threadsafe function scienta_ang_transm(w, x): fitfunc
// parameterized angular transmission function of the analyser
wave w // coefficients
// w[0] = amplitude gauss 1
// w[1] = position gauss 1
// w[2] = width gauss 1
// w[3] = amplitude gauss 2
// w[4] = position gauss 2
// w[5] = width gauss 2
// w[6] = amplitude gauss 3
// w[7] = position gauss 3
// w[8] = width gauss 3
// w[9] = constant background
// w[10] = linear background
// w[11] = quadratic background
variable x
make /free /n=4 /d w_int
w_int[0] = 0
w_int[1,] = w[p - 1]
variable pk1 = gauss1d(w_int, x)
w_int[1,] = w[p + 2]
variable pk2 = gauss1d(w_int, x)
w_int[1,] = w[p + 5]
variable pk3 = gauss1d(w_int, x)
w_int[0,2] = w[9 + p]
w_int[3] = 0
variable bg = poly(w_int, x)
return bg + pk1 + pk2 + pk3
end
function /wave fit_scienta_poly_bg(data, params, bgterms)
wave data // measured distribution (2D)
wave /z params // wave, will be redimensioned for the correct size
variable bgterms // number of terms in the polynomial background: 2, 3, or 4
if (!waveexists(params))
make /n=15 /o params
endif
redimension /n=15 /d params
variable wmax = wavemax(data)
variable wmin = wavemin(data)
params[0] = 0
params[1] = 7
params[2] = 1 / 2
params[3] = -23
params[4] = 4
params[5] = 1 / 2
params[6] = +23
params[7] = 4
params[8] = 1
params[9] = 0
params[10] = -0.001
params[11] = wmin
params[12] = (wmax - wmin) / dimdelta(data,1) / dimsize(data,1)
params[13] = 0
params[14] = 0
string h = "0000000000000"
if (bgterms < 3)
h = h + "1"
else
h = h + "0"
endif
if (bgterms < 4)
h = h + "1"
else
h = h + "0"
endif
FuncFitMD /NTHR=1 /q /h=h scienta_poly_bg params data
return params
end
function scienta_poly_bg(w, e, a): fitfunc
// polynomial background with
// parameterized angular transmission function of the analyser
wave w // coefficients
// angular transmission, varies with a
// amplitude of gauss 1 = 1 constant
// other peak amplitudes and linear terms are relative to gauss 1
// w[0] = position gauss 1
// w[1] = width gauss 1
// w[2] = amplitude gauss 2, relative to gauss 1
// w[3] = position gauss 2
// w[4] = width gauss 2
// w[5] = amplitude gauss 3, relative to gauss 1
// w[6] = position gauss 3
// w[7] = width gauss 3
// w[8] = constant term
// w[9] = linear term
// w[10] = quadratic term
// spectral background, varies with e
// w[11] = constant term
// w[12] = linear term
// w[13] = quadratic term
// w[14] = cubic term
variable a // detection angle
variable e // electron energy
make /free /n=4 /d w_int
variable p0 = 0
w_int[0] = 0
w_int[1] = 1
w_int[2,] = w[p0 + p - 2]
variable pk1 = gauss1d(w_int, a)
p0 += 2
w_int[1,] = w[p0 + p - 1]
variable pk2 = gauss1d(w_int, a)
p0 += 3
w_int[1,] = w[p0 + p - 1]
variable pk3 = gauss1d(w_int, a)
p0 += 3
w_int[0,2] = w[p0 + p]
w_int[3] = 0
variable base = poly(w_int, a)
p0 += 3
w_int[0,3] = w[p0 + p]
variable bg = poly(w_int, e)
return bg * (base + pk1 + pk2 + pk3)
end